Nivas Ramagiri

Software Engineer developing scalable healthcare platforms supporting pharmacy operations and analytics systems. I design and build cloud-native applications using Java, Spring Boot, React, REST APIs, and AWS, focusing on microservices architecture, performance optimization, and system reliability. My work includes building responsive dashboards, integrating backend services with telemetry pipelines, and improving production observability using Splunk, AWS CloudWatch, and Kubernetes monitoring. I collaborate with cross-functional teams and stakeholders to deliver secure API integrations and scalable systems. Key contributions include improving application throughput by 35%, reducing service latency by 28%, and decreasing incident resolution time by 40%.

Worked on evaluating NLP and Generative AI models using large-scale datasets. Developed ML evaluation pipelines using Python, MLflow, Pandas, and NumPy, performing A/B testing with metrics such as precision, recall, F1-score, and BLEU, improving model consistency and reducing manual validation efforts.

Developed scalable mobility platform applications using Java, Spring Boot, Angular, Node.js, and REST APIs. Built microservices and real-time data processing systems leveraging Kafka, Docker, Kubernetes, and AWS, improving deployment automation, system scalability, and telemetry analytics supporting fleet monitoring and operational insights.

Developed telecom platform features using Java, Spring Boot, REST APIs, and Oracle SQL to support billing and customer operations. Built responsive dashboards using Angular, JavaScript, HTML5, and Node.js, improving user experience and service efficiency. Supported CI/CD pipelines using Jenkins, Maven, Git, and Azure DevOps, enhancing deployment automation and system reliability.